Digital Twin Concept Developing on an Electrical Distribution System—An Application Case

Sabryna V. Fernandes, Diogo V. João, Beatriz B. Cardoso, Marcos A. I. Martins and Edgar G. Carvalho
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Sabryna V. Fernandes: Sustainable Energy Center, CERTI Foundation, Florianópolis 88040-970, SC, Brazil
Diogo V. João: Sustainable Energy Center, CERTI Foundation, Florianópolis 88040-970, SC, Brazil
Beatriz B. Cardoso: Sustainable Energy Center, CERTI Foundation, Florianópolis 88040-970, SC, Brazil
Marcos A. I. Martins: Sustainable Energy Center, CERTI Foundation, Florianópolis 88040-970, SC, Brazil
Edgar G. Carvalho: NT&I—Smart Grid Brasil, Enel Distribuição São Paulo, São Paulo 01000-000, SP, Brazil

Energies, 2022, vol. 15, issue 8, 1-22

Abstract: Through the transformation that the electrical sector has been passing by, improvements in asset management and the guarantee of sustainable and quality services have become essential aspects for power companies. Thus, the digitalization of energy utilities presents itself as an important and crucial process. A concept that involves a variety of innovative trends is the digital twin. It consists of a 3D virtual replica of existing physical objects and real-time monitoring of certain measures. By developing a digital twin in the electrical power grid, a virtual replica of the network is obtained providing network virtual maps, 3D asset models, dynamic and real-time data of grid assets, and IoT sensing. All these data can feed a platform where AI-based models and advanced field operation technologies and solutions will be applied. With a Network Digital Twin©development, applications involving on-field activities can be improved through augmented reality (AR) and virtual reality (VR) to enhance workforce operations. This paper discusses the best practices for the development of a digital twin for the electrical power sector. These practices were found during the development of a project carried out by Enel Distribuição São Paulo, applying a living lab concept in the densest region of Brazil. The results of this paper present 3D images captured with specialized tools, and how they influence the workforce activities of human interface operation. Furthermore, financial and operational returns are presented through a cost–benefit analysis for each relevant aspect.

Keywords: 3D asset modeling; asset management; augmented reality; grid digitalization; human interface; image sensors; network digital twin©; virtual reality; workforce improvement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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